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Laguna M.1 vs Qwen2.5 Coder 32B Instruct

Detailed technical comparison between Laguna M.1 (Poolside) and Qwen2.5 Coder 32B Instruct (Alibaba). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Laguna M.1: 0 WinsvsQwen2.5 Coder 32B Instruct: 5 Wins
Context Leader

Laguna M.1

262,144 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

Laguna M.1

$0.20 / MTok
Poolsideactive

Laguna M.1

Laguna M.1 is the flagship coding agent model from [Poolside](https://poolside.ai/), optimized for complex software engineering tasks. Designed for agentic coding workflows, it supports tool calling and reasoning, with a 256K...

View Laguna M.1 Full Specs →
Alibabaactive

Qwen2.5 Coder 32B Instruct

Qwen2.5-Coder is the latest series of Code-Specific Qwen large language models (formerly known as CodeQwen). Qwen2.5-Coder brings the following improvements upon CodeQwen1.5: - Significantly improvements in **code generation**, **code reasoning**...

View Qwen2.5 Coder 32B Instruct Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationLaguna M.1Qwen2.5 Coder 32B Instruct
ProviderPoolsideAlibaba
Context Window262,144 tokens🏆32,768 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apiself hostable
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-04-282024-11-11

API Pricing Comparison

Input Price per Million Tokens

Laguna M.1

$0.20

Qwen2.5 Coder 32B Instruct

$0.66

Output Price per Million Tokens

Laguna M.1

$0.40

Qwen2.5 Coder 32B Instruct

$1.00

💡 Cost Ratio: Laguna M.1 is 3.3x cheaper per input token than Qwen2.5 Coder 32B Instruct.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
81.2%vs81.2%+0.0% Qwen2.5 Coder 32B Instruct
Laguna M.1
Qwen2.5 Coder 32B Instruct
HumanEvalPython coding & logic synthesis
79.4%vs91.5%+12.1% Qwen2.5 Coder 32B Instruct
Laguna M.1
Qwen2.5 Coder 32B Instruct 🏆
MATHComplex mathematical problem solving
56.6%vs68.0%+11.4% Qwen2.5 Coder 32B Instruct
Laguna M.1
Qwen2.5 Coder 32B Instruct 🏆
GPQAGraduate-level expert reasoning
38.6%vs40.5%+1.9% Qwen2.5 Coder 32B Instruct
Laguna M.1
Qwen2.5 Coder 32B Instruct 🏆
HellaSwagCommonsense reasoning and inference
80.8%vs84.0%+3.2% Qwen2.5 Coder 32B Instruct
Laguna M.1
Qwen2.5 Coder 32B Instruct 🏆
MT-BenchMulti-turn conversation flow quality
8.3%vs8.8%+0.5% Qwen2.5 Coder 32B Instruct
Laguna M.1
Qwen2.5 Coder 32B Instruct 🏆

Laguna M.1 Quirks & Gotchas

No developer gotchas reported.

Qwen2.5 Coder 32B Instruct Quirks & Gotchas

No developer gotchas reported.

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